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Deep soft soil metro foundation pit soil body parameter inversion analyzing method

A soil parameter and soft soil technology, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems that the objective function is easy to fall into the local minimum value, the optimization parameters are many, and the robustness is not strong. Achieve the effect of increasing parameter sensitivity settings, optimizing analysis accuracy, and high application value

Inactive Publication Date: 2014-10-01
CHINA RAILWAY SHANGHAI ENGINEERING BUREAU GROUP CO LTD +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, relevant research on parameter inversion analysis shows that the optimization objective function is a highly complex nonlinear multi-peak function. At present, the optimization methods are mainly BP neural network back analysis, simplex method back analysis and other optimization back analysis methods. However, in these methods, either the objective function is easy to fall into a local minimum, or the algorithm is complex, and the optimization parameters are too many and the robustness is not strong.

Method used

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  • Deep soft soil metro foundation pit soil body parameter inversion analyzing method
  • Deep soft soil metro foundation pit soil body parameter inversion analyzing method
  • Deep soft soil metro foundation pit soil body parameter inversion analyzing method

Examples

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Embodiment 1

[0035] A foreign scientific research institution has done two sets of triaxial compression tests of the modified Cambridge model. One group is the drainage consolidation test (referred to as D1), and the other group is the undrained consolidation test (referred to as U1). The axial principal stress was increased in both groups of samples until the soil samples suffered shear failure. The new calculation method of parameter inversion proposed in the present invention is used to carry out parameter inversion, and the parameters obtained from the inversion are substituted into the finite element program to simulate the triaxial compression test of two sets of modified Cambridge models. Figure 3 to Figure 6 shown, where image 3 For the comparison between the calculated results of the initial parameters of the drainage consolidation test and the experimental results, Figure 4 For the comparison between the calculated results of the initial parameters of the undrained consolida...

Embodiment 2

[0040] The proposed site of a deep soft soil iron foundation pit is located in the Yangtze River floodplain landform unit area. Affected by human activities, the thickness of the filling layer is relatively large, ranging from 1.9 to 4.4 m. Below the fill layer, with a depth of 50.5-59.0 m above, there are soft clay soil, soft clay soil and silt, silt and fine sand sedimentary layers deposited in the middle and late Holocene, and the sedimentary layer of silt and fine sand, below which is the early Holocene sediments Pebble-containing gravel silty clay (or pebbly-gravel silty sand). The buried depth of the underlying bedrock is 59.2-61.3m, and the lithology is Cretaceous (K) silty mudstone, argillaceous siltstone, gravel-bearing sandstone and glutenite. The site is rich in groundwater and the depth of soft soil is thick, which will have a very negative impact on the excavation of the subway foundation pit. In order to effectively predict the deformation of the foundation pit ...

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Abstract

The invention relates to the technical field of rock tunnel construction and earthwork parameter calculation, in particular to a deep soft soil metro foundation pit soil body parameter inversion analyzing method. The method includes multiplying a least square function of a difference value between a finite element numerical calculation result and an actually monitored value by a specific weighting coefficient to obtain the function which serves as a target function, utilizing an improved Gaussian-Newton method to conduct optimal solution on the target function, and conducting repeated iterative computation to enable the finite element numerical calculation result to gradually approach the actually monitored value to determine an optimal solution of a parameter to be confirmed and build the relation between the monitored value and the foundation pit soil body parameter basic characteristic value. By means of the method, the actual observation value is combined to conduct constant soil body parameter inversion and correction to further predict the soil body deformation of the next stage, a prediction result is more and more accurate with the number increase of the monitored value, a very good monitoring and early warning method is provided for deep soft soil metro foundation pit project construction, and the method has high application value in the soil body parameter determination process.

Description

[Technical field] [0001] The invention relates to the technical field of rock tunnel construction and soil engineering parameter calculation, in particular to a method for inversion analysis of soil parameters of iron foundation pits in deep soft soil. [Background technique] [0002] As a geotechnical project, the foundation pit project is characterized by strong systematicness and uncertainty. If the foundation pit is not properly excavated, it will cause the safety and stability of the foundation pit project itself. In particular, when the geological environment is deep and soft soil, the potential risk of damage is higher. Therefore, whether the deformation of the foundation pit can be accurately predicted during the construction process has important guiding significance for the safe construction of the foundation pit project. Due to its strong applicability, the finite element method is increasingly becoming a powerful tool for predicting the deformation of foundation ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 贾春雷刘习生穆保岗竺明星曾旭钱琨
Owner CHINA RAILWAY SHANGHAI ENGINEERING BUREAU GROUP CO LTD
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